Multiobjective optimization design of green building envelope material using a non-dominated sorting genetic algorithm

Yang, Ming‐Der; Lin, Min‐Der; Lin, Yu-Hao; Tsai, Kang-Ting

doi:10.1016/j.applthermaleng.2016.01.015

Cited by 82 publications

(26 citation statements)

References 32 publications

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“…Varnäs et al (2009) illustrates how the environment impacts (EIs) determined in the EIA can be followed up by combining them in the project-environmental management system, the construction contract procurements, and the EMSs and work instructions of the contractor. Yang et al (2017) studied the feasibility of implementing a multi-objective optimal model on building envelope design (MOPBEM), which involved combining a building envelope energy performance model with a multi-objective optimizer. Jha (2016, 2017) used data envelopment analysis (Charnes et al, 2013) for benchmarking green building attributes to achieve cost effectiveness.…”

Section: Green Buildingmentioning

confidence: 99%

Green building project management: obstacles and solutions for sustainable development

Khodadadzadeh¹

2016

10.5267/j.jpm

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Section: Green Buildingmentioning

confidence: 99%

Green building project management: obstacles and solutions for sustainable development

Khodadadzadeh¹

2016

10.5267/j.jpm

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“…Delgarm et al [19] provided a new methodology, based on multi-objective artificial bee colony (MOABC), to optimize the design of building envelope by minimizing electricity consumption and thermal discomfort. The same aim was pursued by Yang et al [20], who proposed a GA-based framework (denoted as MOPBEM) in order to minimize envelope construction cost, energy load and maximize window opening rate. Bre et al [21] addressed the design optimization of a residential building by performing sensitivity analysis to screen the design variables and a GA to minimize energy consumption and discomfort hours.…”

mentioning

confidence: 94%

“…According to Deb [51], the variants of NSGA-II seem to be the most efficient GAs for complex multi-objective problems. Indeed, they were used in several studies addressing building design [9][10][11][12][13]20,21,[27][28][29][30]. That is why a variant of NSGA-II is employed in this study.…”

Section: Comparison With Other Optimization Algorithmsmentioning

confidence: 99%

Multi-Objective Optimization of Building Energy Design to Reconcile Collective and Private Perspectives: CO2-eq vs. Discounted Payback Time

Hamdy

Mauro

2017

Energies

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Abstract:Building energy design is a multi-objective optimization problem where collective and private perspectives conflict each other. For instance, whereas the collectivity pursues the minimization of environmental impact, the private pursues the maximization of financial viability. Solving such trade-off design problems usually involves a big computational cost for exploring a huge solution domain including a large number of design options. To reduce that computational cost, a bi-objective simulation-based optimization algorithm, developed in a previous study, is applied in the present investigation. The algorithm is implemented for minimizing the CO 2 -eq emissions and the discounted payback time (DPB) of a single-family house in cold climate, where 13,456 design solutions including building envelope and heating system options are explored and compared to a predefined reference case. The whole building life is considered by assuming a calculation period of 30 years. The results show that the type of heating system significantly affects energy performance; notably, the ground source heat pump leads to the highest reduction in CO 2 -eq emissions, around 1300 kgCO 2 -eq/m 2 , with 17 year DPB; the oil fire boiler can provide the lowest DPB, equal to 8.5 years, with 850 kgCO 2 -eq/m 2 reduction. In addition, it is shown that using too high levels of thermal insulation is not an effective solution as it causes unacceptable levels of summertime overheating. Finally a multi-objective decision making approach is proposed in order to enable the stakeholders to choice among the optimal solutions according to the weight given to each objective, and thus to each perspective.

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“…The rapid development of global industrialization has increased the greenhouse gas emissions and nonrenewable energy shortage, which are urgent concerns for the entire society [1,2]. To effectively address serious environmental problems, pure electric vehicles (EVs) and hybrid EVs as green power equipment and environment-friendly transport tools compared to traditional diesel locomotives are developed [3][4][5][6].…”

Section: Introductionmentioning

confidence: 99%

Experimental Investigation on a Thermoelectric Cooler for Thermal Management of a Lithium-Ion Battery Module

Zhong

Luo

et al. 2019

International Journal of Photoenergy

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Electric vehicles (EVs) powered by lithium batteries, which are a promising type of green transportation, have attracted much attention in recent years. In this study, a thermoelectric generator (TEG) coupled with forced convection (F-C) was designed as an effective and feasible cooling system for a battery thermal management system. A comparison of natural convection cooling, F-C cooling, and TEG cooling reveals that the TEG is the best cooling system. Specifically, this system can decrease the temperature by 16.44% at the discharge rate of 3C. The coupled TEG and F-C cooling system can significantly control temperature at a relatively high discharge rate. This system not only can decrease the temperature of the battery module promptly but also can reduce the energy consumption compared with the two other TEG-based cooling systems. These results are expected to supply an effective basis of the design and optimization of battery thermal management systems to improve the reliability and safety performance of EVs.

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Multiobjective optimization design of green building envelope material using a non-dominated sorting genetic algorithm

Cited by 82 publications

References 32 publications

Green building project management: obstacles and solutions for sustainable development

Green building project management: obstacles and solutions for sustainable development

Multi-Objective Optimization of Building Energy Design to Reconcile Collective and Private Perspectives: CO2-eq vs. Discounted Payback Time

Experimental Investigation on a Thermoelectric Cooler for Thermal Management of a Lithium-Ion Battery Module

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